This paper is investigating and comparing three channel models for the fifth generation (5G) wireless communications: the quasi deterministic radio channel generator (QuaDRiGa), the NYUSIM developed by New York University (NYU) and the more general 5G (MG5G) channel model. The three channel models employ different approaches to model the time non-stationary characteristics of the 5G wireless communications, such as the geometry-based drifting modeling and cluster birth-death methodology. Simulations are carried out using the three channel models to analyze the statistical properties including angle power spectrum (APS), power delay profile (PDP), temporal autocorrelation function (ACF), and spatial cross-correlation function (CCF). Simulation results show that the calculation of angular parameters contributes to the performance of APS, generation approaches of path powers and cluster parameters have significant impact on PDP performance, the performance of ACF and CCF varies mainly due to the calculations of path delays and angle spreads for the three channel models in urban macrocell (UMa) mobile NLOS environments.